Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm

Abstract

Missing data in large insurance datasets affects the learning and classification accuracies in predictive modelling. Insurance datasets will continue to increase in size as more variables are added to aid in managing client risk and will therefore be even more vulnerable to missing data. This paper proposes a hybrid multi-layered artificial immune system… (More)
DOI: 10.1016/j.asoc.2013.08.005

Topics

Cite this paper

@article{Duma2013PartialIO, title={Partial imputation of unseen records to improve classification using a hybrid multi-layered artificial immune system and genetic algorithm}, author={Mlungisi Duma and Tshilidzi Marwala and Bhekisipho Twala and Fulufhelo Vincent Nelwamondo}, journal={Appl. Soft Comput.}, year={2013}, volume={13}, pages={4461-4480} }